• The Journal of the Korea Contents Association
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• v.8 no.6
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• pp.130-139
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• 2008

The purpose of this study was to develop psychological skill training program for actor with considering the ecological validity of social, cultural environment in Korean but also examine the effect of psychological skill training through psychological counseling and field study to decrease stage-anxiety. The experimental group were 2 actors, who were selected by purposive sampling. The psychological skill training program to decrease stage-anxiety for actor was composed of five stages, 12times and categorized as orientation, breathing regulation, progressive relaxation training, group counseling, heart rate bio-feedback training, self concentration, routine training, behavior therapy & self reinforcement, image training. The effects was examined on stage performance anxiety scale, psychological counseling and observation of experts. As the result of applying the psychological skill training to decrease stage-anxiety, cognitive state anxiety, somatic state anxiety were decreased. According to the result of counseling and observation, they were changed affirmative on self confrontation, harmony and rapport between actor and object. This result demonstrated the psychological skill training & counseling to decrease stage-anxiety for actor were effective.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.25 no.1
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• pp.18-23
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• 1989

An approach for robustness recovery of the observer-based control system is presented. The approach is developed by adding a loop with appropriate constant matrix to the observer-based closed-loop system. It will be shown that if there exists an added-loop matrix M satisfying F=MC for a feedback gain F and output matrix C, then the observer-based control systems have the same loop transfer functions as full-state feedback implementations, in other words, the former has the same relative stability and robustness as the latter.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.3
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• pp.21-28
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• 2016

We propose an adaptive scheme of a differential codebook for temporally correlated channels. And the codeword entries of the propose codebook are selected among the set of M-PSK constellations - the values of M proposed in this paper are 8, 16, or 32. Firstly, we analyze mathematically how the optimal spherical cap radius of the proposed codebook is tracked. Then, we explain the practical implementation of the proposed adaptive method. Practically, some candidate differential codebooks we propose in this paper can be switched according to the temporal correlation coefficients of wireless channels in the proposed scheme. Monte-Carlo simulations demonstrate that the achievable throughput performance employing the proposed codebook is always superior to those of the differential codebooks employing M-PSK constellations and non-adaptive differential codebooks with the same amount of feedback information.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.11
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• pp.1500-1506
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• 2020

In this paper, we study a scheduling problem based on reinforcement learning for overlay device-to-device (D2D) communication networks. Even though various technologies for D2D communication networks using Q-learning, which is one of reinforcement learning models, have been studied, Q-learning causes a tremendous complexity as the number of states and actions increases. In order to solve this problem, D2D communication technologies based on Deep Q Network (DQN) have been studied. In this paper, we thus design a DQN model by considering the characteristics of wireless communication systems, and propose a distributed scheduling scheme based on the DQN model that can reduce feedback and signaling overhead. The proposed model trains all parameters in a centralized manner, and transfers the final trained parameters to all mobiles. All mobiles individually determine their actions by using the transferred parameters. We analyze the performance of the proposed scheme by computer simulation and compare it with optimal scheme, opportunistic selection scheme and full transmission scheme.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1655-1662
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• 2021

The purpose of this study is to draw implications through a case study on the curriculum operation of a professor who operated a programming subject as a PBL(project-based learning) method in an untact situation due to COVID-19. A survey was conducted for first-year freshmen students to determine their learning condition before project implementation. Based on the results of the questionnaire, individual interviews were conducted to identify the needs for education, and then, basic grammar for project completion and lectures that segmenting each stage of the project were composed. Repeated learning was induced through weekly quizzes, and feedback was given by giving time in advance until the project deadline. 23 students (40 students in total) completed the project. The remaining 17 students took the exam but did not complete the project. The purpose of this study is significant in that it investigated whether a project can be carried out through instructional design, execution, and interaction while operating a programming subject through PBL in the COVID-19 environment.

• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.738-750
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• 2022

In this study, we reviewed and discussed whether auditory stimuli with short length can evoke emotion-related neurological responses. The findings implicate that if personalized sound tracks are provided to XR users based on machine learning or probability network models, user experiences in XR environment can be enhanced. We also investigated that the arousal-relaxed factor evoked by short auditory sound can make distinct patterns in functional connectivity characterized from background EEG signals. We found that coherence in the right hemisphere increases in sound-evoked arousal state, and vice versa in relaxed state. Our findings can be practically utilized in developing XR sound bio-feedback system which can provide preference sound to users for highly immersive XR experiences.

• Communications of Mathematical Education
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• v.36 no.4
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• pp.511-533
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• 2022

The purpose of this study is to develop a learning coaching model suitable for the mathematics subject by reflecting the characteristics of the mathematics subject and the mathematics teaching/learning process in the CARE learning coaching model that supports students' self-directed learning. The mathematics learning coaching model developed in this study is a 'step' and 'element' to apply coaching, and a 'strategy' for carrying out it. Mathematics learning coaching model evaluated rapport, trust, state management, and math pre-test as elements of 'creating a comfortable atmosphere', and problem recognition, hypercognition, restructuring, initiative, and math learning ability as elements of 'improving perception'. Self-efficacy, learning readiness, confirmation (feedback) as elements of the 'reawakening of learning immersion' stage, voluntary motivation and success experiences as elements of the 'empowerment' stage, and various math learning strategies to perform each element presented. The math learning coaching model can be used to help math teachers motivate students to learn and help students solve their own problems.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.6B
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• pp.527-535
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• 2009

In this study, employing an interview survey, the progress orientation of flood management is established, and a framework and process for sustainable flood management in a river basin's context are developed to effectively achieve its goals and objectives. The Interview survey about flood management shows that to reduce flood damage, it is necessary to subdue injudicious man-made developments, to make systematic long-term plans, and to consistently implement them. In the framework, the goal is established as minimizing flood damage and building resilience against flooding, and an implementing methodology is developed, integrating five elements: integrated flood management, flood risk management, integrated watershed management, participatory decision-making process, and adaptive management. Also, evaluating the state of flood management in river basins' context is incorporated into the framework, and the evaluation results are fed back to the goal and the methodology. To effectively implement flood management, an adaptive flood management process is developed, reflecting the results of the interview survey. In this process, the participation of the persons concerned is secured, the state of flood management are evaluated periodically, and measures appropriate to the specific sites are selected and are adaptively carried out.

• The Journal of Bigdata
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• v.7 no.1
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• pp.29-36
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• 2022

The prevalence of stress and depression among emotional workers is increasing due to the rapid increase in emotional labor and service workers. However, the current mental health management of emotional workers is difficult to consider the emotional response at the time of stress situations, and the existing mental health management is limited because the individual's base state is not reflected. In this study, we present mental healthcare digital twin solution technology, a personalized stress risk management solution. For mental health risk management due to emotional labor, a solution simulation is performed to accurately predict stress risk through synchronization/modeling of dynamic objects in virtual space by extracting individual stress risk factors such as emotional/physical response and environment into various modalities. It provides a mental healthcare digital twin solution for predicting personalized mental health risks that can be configured with modalities and objects tailored to the environment of emotional workers and improved according to user feedback.

• Convergence Security Journal
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• v.22 no.1
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• pp.135-140
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• 2022

This study aims to analyze exercise cases and issues using smart devices and technologies, and to present the development direction of a smart exercise environment suitable for the wellness life of active seniors with high activity and economic power unlike the existing silver generation. In the fitness industry, the subscription economy that regularly receives or uses necessary exercise tools, services, and digital content is expanding, and business models based on hardware sales and content subscription continue to emerge. In order to have value competitiveness as a platform that provides active seniors with integrated exercise services for health care, not only fitness centers, but also home training exercise equipment, fitness-related applications, and smart wearable device markets should be organically connected to form an expanded total platform. In order to have value competitiveness as a platform that provides active seniors with integrated exercise services for health care, not only fitness centers, but also home training exercise equipment, fitness-related applications, and smart wearable device markets should be organically connected to form an expanded total platform. The linkage of the digital healthcare function, which provides real-time changes to exercise programs based on continuous monitoring and feed back through wearable devices before, after, and during exercise by receiving and selecting exercise programs suitable for individual health status, is the differentiating factor in the smart fitness model.